I am an impact-focused Data Scientist with a proven track record of applying machine learning, large language models, and AI to solve real-world challenges in diverse domains such as insurance, healthcare, and accessibility. I excel at driving cross-functional collaboration, leading model optimization efforts, and building scalable, production-ready solutions. With a strong analytical mindset and creative problem-solving skills, I am adept at translating technical insights into meaningful business outcomes. I am proficient in Python, SQL, and R, and have hands-on expertise in frameworks like TensorFlow and PyTorch, as well as cloud platforms including AWS and GCP. I am passionate about leveraging emerging technologies such as generative AI and Retrieval Augmented Generation (RAG) pipelines to create ethical, inclusive, and future-ready systems.

Aditya Kumar

I am an impact-focused Data Scientist with a proven track record of applying machine learning, large language models, and AI to solve real-world challenges in diverse domains such as insurance, healthcare, and accessibility. I excel at driving cross-functional collaboration, leading model optimization efforts, and building scalable, production-ready solutions. With a strong analytical mindset and creative problem-solving skills, I am adept at translating technical insights into meaningful business outcomes. I am proficient in Python, SQL, and R, and have hands-on expertise in frameworks like TensorFlow and PyTorch, as well as cloud platforms including AWS and GCP. I am passionate about leveraging emerging technologies such as generative AI and Retrieval Augmented Generation (RAG) pipelines to create ethical, inclusive, and future-ready systems.

Available to hire

I am an impact-focused Data Scientist with a proven track record of applying machine learning, large language models, and AI to solve real-world challenges in diverse domains such as insurance, healthcare, and accessibility. I excel at driving cross-functional collaboration, leading model optimization efforts, and building scalable, production-ready solutions. With a strong analytical mindset and creative problem-solving skills, I am adept at translating technical insights into meaningful business outcomes.

I am proficient in Python, SQL, and R, and have hands-on expertise in frameworks like TensorFlow and PyTorch, as well as cloud platforms including AWS and GCP. I am passionate about leveraging emerging technologies such as generative AI and Retrieval Augmented Generation (RAG) pipelines to create ethical, inclusive, and future-ready systems.

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Experience Level

Expert
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Expert
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Intermediate
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Work Experience

Data Analytics & Machine Learning at ElevateMe Bootcamp, Columbus, Ohio
May 1, 2025 - Present
Gained practical experience through real-world projects, including a live project and two optional capstone initiatives. Applied data analytics and machine learning techniques using Python, Jupyter Notebooks, Pandas, Numpy, Matplotlib, Seaborn, and Scikit-learn to build and evaluate machine learning models. Deployed machine learning models on Microsoft Azure, integrating Azure ML with Azure SQL databases to enable real-time analytics and predictions. Performed data preprocessing, feature engineering, and model selection, evaluating regression, classification, and clustering algorithms to optimize performance. Collaborated in a professional team environment using Jira, Confluence, and Slack for project management and communication.
Graduate Student Assistant at Georgia Institute of Technology
May 31, 2025 - August 5, 2025
Worked on transforming a Mixed Reality environment into a Virtual Reality simulation using Unity. Integrated real-world sensor data to build a digital twin of a construction site, enhancing predictive analytics for cognitive load and improving worker safety. Created a digital twin leveraging sensor data for real-time safety enhancements and enhanced VR simulation accuracy to support cognitive load prediction for construction workers.
Graduate Research Student at Georgia Institute of Technology
April 30, 2025 - August 5, 2025
Conducted advanced research on Neural Networks, focusing on extracting interior model weights with Conjunctive Normal Form (CNF) implementation. Collaborated closely with team members and peers to analyze and optimize network architecture, improving model security. Developed scalable CNF implementations enabling applications to larger neural networks, enhancing model performance through architecture optimization and collaborative analysis.
Senior Data Scientist at Allstate India, Karnataka, India
August 31, 2024 - August 5, 2025
Led a team of 3 to fine-tune large language models for predictive modeling, improving storage capacity forecasting and reducing resource allocation delays by 60%. Built a self-service portal using React.js and Ansible to automate network provisioning, cutting processing time by 95% and supporting 20+ cross-functional teams. Enhanced operational efficiency and resource planning through LLM optimization, infrastructure automation, and full-stack development.
Data Scientist at Allstate India, Karnataka, India
April 30, 2024 - August 5, 2025
Automated storage provisioning workflows reducing deployment time by 98% and managing 700+ tickets annually to improve migration and decommissioning efficiency. Performed time series analysis on mainframe CPU usage, cutting downtime by 35% and boosting CPU utilization by 25%, enhancing system reliability. Developed and deployed deep learning-based anomaly detection models using BERT, integrated with CI/CD pipelines in Docker/Kubernetes for scalable log analysis.
Associate Data Scientist at Allstate India, Karnataka, India
April 30, 2022 - August 5, 2025
Built an automated HR tool using REST APIs for real-time task alerts, reducing HR workload by 30%. Managed 500+ incidents annually in ServiceNow ITOM, cutting mean time to repair (MTTR) by 30% via data-driven root cause analysis. Automated workflows and notifications to enhance efficiency and service reliability.
Data Science Intern at Allstate India, Karnataka, India
February 28, 2021 - August 5, 2025
Analyzed over 10,000 incident and problem records to build predictive models, improving root cause identification by 30%.
Data Analytics & Machine Learning at ElevateMe Bootcamp
May 1, 2025 - Present
Gained practical experience through real-world projects including live and capstone projects by applying data analytics and machine learning techniques. Utilized Python, Jupyter Notebooks, Pandas, Numpy, Matplotlib, Seaborn, and Scikit-learn to build and evaluate machine learning models. Deployed machine learning models on Microsoft Azure integrating Azure ML with Azure SQL databases enabling real-time analytics and predictions. Performed data preprocessing, feature engineering, model selection, and evaluated regression, classification, and clustering algorithms to optimize performance. Collaborated in a professional team environment using Jira, Confluence, and Slack for project management and communication.
Graduate Student Assistant at Georgia Institute of Technology
May 31, 2025 - August 5, 2025
Worked on transforming a Mixed Reality environment into a Virtual Reality simulation using Unity. Integrated real-world sensor data to build a digital twin of a construction site, enhancing predictive analytics for cognitive load and improving worker safety. Created a digital twin leveraging sensor data for real-time safety enhancements and improved VR simulation accuracy to support cognitive load prediction for construction workers.
Graduate Research Student at Georgia Institute of Technology
April 30, 2025 - August 5, 2025
Conducted advanced research on Neural Networks focusing on extracting interior model weights using Conjunctive Normal Form (CNF) implementation. Collaborated closely with team members to analyze and optimize network architecture improving model security. Developed scalable CNF implementations enabling application to larger neural networks and enhanced model performance through architecture optimization and collaboration.
Senior Data Scientist at Allstate India
August 31, 2024 - August 5, 2025
Led a team of 3 to fine-tune large language models for predictive modeling that improved storage capacity forecasting and reduced resource allocation delays by 60%. Built a self-service portal using React.js and Ansible to automate network provisioning, cutting processing time by 95% and supporting over 20 cross-functional teams. Enhanced operational efficiency and resource planning through LLM optimization, infrastructure automation, and full-stack development.
Data Scientist at Allstate India
April 30, 2024 - August 5, 2025
Automated storage provisioning workflows to reduce deployment time by 98%, handling over 700 tickets annually and improving migration and decommissioning efficiency. Performed time series analysis on mainframe CPU usage, reducing downtime by 35% and boosting CPU utilization by 25%, enhancing system reliability. Developed and deployed deep learning-based anomaly detection models using BERT integrated with CI/CD pipelines in Docker/Kubernetes for scalable log analysis.
Associate Data Scientist at Allstate India
April 30, 2022 - August 5, 2025
Built an automated HR tool using REST APIs for real-time task alerts reducing HR workload by 30%. Managed over 500 incidents annually in ServiceNow ITOM, cutting mean time to recovery by 30% via data-driven root cause analysis. Automated workflows and notifications to enhance efficiency and service reliability.
Data Science Intern at Allstate India
February 28, 2021 - August 5, 2025
Analyzed over 10,000 incident and problem records to build predictive models improving root cause identification by 30%.

Education

Master’s in Computer Science at Georgia Institute of Technology, Atlanta, GA
January 11, 2030 - August 5, 2025
Bachelor of Engineering in Information Science at CMR Institute of Technology, Bangalore, India
January 11, 2030 - August 5, 2025
Master’s in Computer Science at Georgia Institute of Technology
January 11, 2030 - August 5, 2025
Bachelor of Engineering in Information Science at CMR Institute of Technology, Bangalore, India
January 11, 2030 - August 5, 2025

Qualifications

Data Analytics and Machine Learning Certificate of Completion
May 1, 2025 - August 5, 2025
Data Analytics and Machine Learning Certificate of Completion
May 1, 2025 - August 5, 2025

Industry Experience

Financial Services, Healthcare, Software & Internet, Professional Services, Other